Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Marcos Economides"'
Publikováno v:
JMIR Formative Research, Vol 7, p e41590 (2023)
BackgroundDepressive symptoms are highly prevalent and have broad-ranging negative implications. Digital interventions are increasingly available in the workplace context, but supporting evidence is limited. ObjectiveThis study aimed to evaluate the
Externí odkaz:
https://doaj.org/article/9524945d84c14b00ae19d68583c2596b
Publikováno v:
JMIR Formative Research, Vol 6, Iss 3, p e34032 (2022)
BackgroundThere is growing interest in digital platforms as a means of implementing scalable, accessible, and cost-effective mental health interventions in the workplace. However, little is known about the efficacy of such interventions when delivere
Externí odkaz:
https://doaj.org/article/0a5ef65893a94d4e980a117dd8b7571b
Publikováno v:
JMIR Mental Health, Vol 9, Iss 1, p e34103 (2022)
BackgroundUnmind is a workplace, digital, mental health platform with tools to help users track, maintain, and improve their mental health and well-being (MHWB). Psychological measurement plays a key role on this platform, providing users with insigh
Externí odkaz:
https://doaj.org/article/951671101af445fb86d6dc1011daac88
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 11, p e1007443 (2019)
Human decisions can be habitual or goal-directed, also known as model-free (MF) or model-based (MB) control. Previous work suggests that the balance between the two decision systems is impaired in psychiatric disorders such as compulsion and addictio
Externí odkaz:
https://doaj.org/article/9c3489b7c8b5431b8fcd151a89896bf3
Publikováno v:
PLoS ONE, Vol 13, Iss 12, p e0209482 (2018)
BackgroundPrevious evidence suggests that mindfulness training may improve aspects of psychosocial well-being. Whilst mindfulness is traditionally taught in person, consumers are increasingly turning to mindfulness-based smartphone apps as an alterna
Externí odkaz:
https://doaj.org/article/a350dc088f5b4f76b380b54f205a2ff4
Publikováno v:
PLoS Computational Biology, Vol 11, Iss 9, p e1004463 (2015)
Model-based and model-free reinforcement learning (RL) have been suggested as algorithmic realizations of goal-directed and habitual action strategies. Model-based RL is more flexible than model-free but requires sophisticated calculations using a le
Externí odkaz:
https://doaj.org/article/813f9ae5b0844eb88286fad0acd0dd3a
Publikováno v:
SLEEP.
Study Objectives Many adults without a diagnosed sleep disorder report poor sleep. Recently, there has been a dramatic increase in the use of app-based audio tools to aid sleep by the general public, yet there is a paucity of evidence on whether such
Background: Depressive symptoms are highly prevalent and have broad ranging negative implications. Digital interventions are increasingly available in a workplace context, but supporting evidence is limited. This study evaluated the feasibility, acce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::627fc5dba6b681c828fcf3c4b052b56f
https://doi.org/10.31234/osf.io/j39sx
https://doi.org/10.31234/osf.io/j39sx
Autor:
Paul M. Lehrer, Valerie L. Forman-Hoffman, Albert Nazander, Kristian Ranta, Richard Gevirtz, Marcos Economides, Inna Khazan, Anu Raevuori, Outi Hilgert
Publikováno v:
Applied Psychophysiology and Biofeedback
A rise in the prevalence of depression underscores the need for accessible and effective interventions. The objectives of this study were to determine if the addition of a treatment component showing promise in treating depression, heart rate variabi
Publikováno v:
JMIR formative research. 6(3)
Background There is growing interest in digital platforms as a means of implementing scalable, accessible, and cost-effective mental health interventions in the workplace. However, little is known about the efficacy of such interventions when deliver